leis_2025_efl_skill_rating

708 responses from 177 respondents to 4 items.

One of 5 tables from the same source; this one measures Self-rated English skill (linguistic self-confidence). The others are listed under Related tables.

About this table

DescriptionSelf-rated English skill (speaking, listening, reading, writing), 4 items, 0-5; N = 177 Japanese university students of English; cov_gender, cov_age.
ReferenceLeis, A. (2025). Confidence and Motivation in University EFL Classrooms [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/ZCKGGC
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ZCKGGC

Size and shape

Responses708
Respondents177
Items4
Response categories6
Responses per respondent4
Responses per item177
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, General/non-specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)jpn
construct nameSelf-rated English skill (linguistic self-confidence)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_genderCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("leis_2025_efl_skill_rating")
# Python
pip install irw

import irw
df = irw.fetch("leis_2025_efl_skill_rating")

How to cite

@misc{https://doi.org/10.7910/dvn/zckggc,
  doi = {10.7910/DVN/ZCKGGC},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ZCKGGC},
  author = {Leis, Adrian},
  keywords = {Other},
  title = {Confidence and Motivation in University EFL Classrooms},
  publisher = {Harvard Dataverse},
  year = {2025}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0